Genmab

Clinical and Statistical Programming Intern

Princeton Full time

At Genmab, we are dedicated to building extra[not]ordinary® futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines® that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals’ unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees.

Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so.

Does this inspire you and feel like a fit? Then we would love to have you join us!

Job Title

Clinical and Statistical Programming Intern

Why Genmab

Our internship program provides interns with hands-on experience and relevant projects that directly align with our company’s goals.  Additionally, we believe our program provides a valuable opportunity to learn, thrive, and build a strong network.  We encourage you to review our website to learn why we’re always looking for smart, purpose-led candidates to play a role in our bold, extra[not]ordinary® future.

Job Overview

This internship aims to develop future talent in clinical research by providing hands-on experience in drug development through direct exposure to Clinical and Statistical Programming work. You will be prepared for careers in the industry and at Genmab by empowering yourself to understand and contribute to key programming activities such as the creation and quality control of tabulation datasets (SDTM), gaining exposure to analysis dataset (ADaM) concepts, engaging in cross-partner collaboration, developing tools, and contributing to process documentation. Additionally, this internship promotes skill development in emerging technologies by leveraging the growing expertise in academia with widely used open-source programming languages such as R and Python, as well as artificial intelligence and machine learning frameworks, while providing interns with meaningful exposure to real-world applications of these technologies.

What You’ll Do

Technical Exposure

Interns will receive training and hands-on experience in some or all the following: SAS, R, Python.

•            Production or QC of SDTM datasets, by writing the corresponding programs and/or ensuring validation/acceptance testing before finalization.

•            Development of tools to accelerate/automate programming tasks.

Clinical Research Integration

Interns will learn:

•            Industry standards, best practices, and regulatory requirements for Clinical and Statistical Programming.

•            Reporting and visualization of clinical trial data.

•            Computing environment, applications, and utility tools developed and/or utilized for Clinical and Statistical Programming.

Process Improvement and Operational Excellence

Interns will gain hands-on experience in some or all the following:

•            Exposure to continuous improvement principles and practices that drive operational efficiency and quality in programming and clinical data workflows.

•            Participate in process mapping and analysis to identify opportunities for standardization, automation, and efficiency gains.

•            Support documentation and optimization of standard operating procedures (SOPs), work instructions, or templates.

•            Contribute to metrics tracking and dashboarding to monitor process performance and improvement outcomes.

Professional Development

Interns will engage in:

•            Weekly mentorship meetings with Senior Clinical Programmer(s) and/or team lead(s).

•            Networking opportunities and collaboration with cross-functional teams, including Biostatistics and Data Management.

Capstone Project

Each intern will complete a capstone project based on an actual Programming assignment.

At the end of the program, interns will present their capstone project to the Extended Programming Leadership Team as well as other relevant stakeholders, showcasing their contributions and potential for future (FTE) roles.

Required Qualifications, Capabilities and Skills

•            Students in their first or second year of a Master’s degree in Statistics, Mathematics, Computer Science, Bioinformatics, Data Science or related fields.

•            Interest in clinical research.

•            Basic understanding of Clinical and/or Statistical Programming,

•            Academic or industry experience with relevant programming languages (e.g. SAS, R, Python) and exposure to artificial intelligence or machine learning concepts, including familiarity with large language models (LLMs) or related frameworks, is preferred.

•            Strong analytical and problem-solving skills, with the ability to interpret data and identify improvement opportunities.

•            Basic knowledge of project management tools.

Preferred qualifications, capabilities and skills

•            Experience with process mapping or workflow documentation tools

•            Exposure to artificial intelligence or machine learning concepts, including familiarity with large language models (LLMs) or related frameworks

General Intern Information – Date/Location/Schedule

Internships will take place June – August 2026.  This role will be based in Princeton, NJ and operate on a required hybrid schedule – 3 days in the office and 2 days remote per week.

What’s next?

Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume are a way for us to initially get to know you, so it’s important to complete all relevant questions to ensure we have as much information about you as possible.

Every application matters to us, and we’ll carefully review each submission as quickly as possible to see if your qualifications align with the role. While we’re unable to provide individual updates, rest assured that we’re working diligently to move through the process efficiently.

If you move forward in the process, you’ll receive an email invitation to connect with us and dive deeper into this exciting opportunity. The final stage will bring selected candidates meeting directly with our hiring teams, where you’ll have the chance to showcase your potential. We are committed to keeping you informed and will share decisions with all candidates as soon as we are able.

We can't wait to see where this journey takes you!

About You

  • You are genuinely passionate about our purpose

  • You bring precision and excellence to all that you do

  • You believe in our rooted-in-science approach to problem-solving

  • You are a generous collaborator who can work in teams with a broad spectrum of backgrounds

  • You take pride in enabling the best work of others on the team

  • You can grapple with the unknown and be innovative

  • You have experience working in a fast-growing, dynamic company (or a strong desire to)

  • You work hard and are not afraid to have a little fun while you do so!

Locations

Genmab maximizes the efficiency of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are crafted as open, community-based spaces that work to connect employees while being immersed in our powerful laboratories. Whether you’re in one of our office spaces or working remotely, we thrive on connecting with each other to innovate.

About Genmab

Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab’s vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO®) antibody medicines.

Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific. For more information, please visit Genmab.com and follow us on LinkedIn and X.

Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website Job Applicant Privacy Notice (genmab.com).